Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0 * weight + 16
This means that on average for every extra kilogram weight a rider loses 0 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARONCHELLI Gianbattista | 72 |
| 2 | ZOETEMELK Joop | 68 |
| 3 | KNUDSEN Knut | 79 |
| 4 | GIMONDI Felice | 78 |
| 7 | MERCKX Eddy | 74 |
| 8 | VAN IMPE Lucien | 59 |
| 10 | KELLY Sean | 77 |
| 12 | MARTIN Raymond | 62 |
| 16 | RICCOMI Walter | 66 |
| 31 | BITTINGER René | 69 |
| 32 | GAVAZZI Pierino | 67 |
| 34 | SUTTER Ueli | 70 |
| 35 | CONTI Tino | 79 |
| 47 | DEMIERRE Serge | 70 |
| 51 | MARTINELLI Giuseppe | 74 |